Human diseases diagnosis system (HDDS)

As we know that human disease diagnosis is a complicated process and requires high level of expertise.Any attempt of developing a web-based expert system dealing with human disease diagnosis has to overcome various difficulties. Detecting diseases at early stage can enable to overcome and treat them...

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Main Author:	Aida Raihana, Abd Wahab
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/5004/ http://umpir.ump.edu.my/id/eprint/5004/ http://umpir.ump.edu.my/id/eprint/5004/1/CD6514.pdf

id	ump-5004
recordtype	eprints
spelling	ump-50042015-03-03T09:22:30Z http://umpir.ump.edu.my/id/eprint/5004/ Human diseases diagnosis system (HDDS) Aida Raihana, Abd Wahab QA Mathematics As we know that human disease diagnosis is a complicated process and requires high level of expertise.Any attempt of developing a web-based expert system dealing with human disease diagnosis has to overcome various difficulties. Detecting diseases at early stage can enable to overcome and treat them appropriately.Identifying the treatment accurately depends on the method that is used in diagnosing the diseases.Human Diseases Diagnosis Systems (HDDS) is an expert system that used to give earlier diagnosis of four major diseases,Chikungunya,Avian Influenza,H1N1 and Dengue. The idea to build the system by using expert systems is because expertise is not always available so that users can do their check up on the symptoms.So,by using this system can help them to give earlier diagnosis based on the questionnaires provided and lastly will generate the result of the disease.Besides that,user can get information of the diseases and be aware of the symptoms.This system is build by using PHP and MySQL as the database.Basic structure of rule based expert system are knowledge base,the database and the inference engine,explanation facilities and lastly is the user interface.The knowledge base for this system contains the knowledge useful for problem solving which is represented as a set of rules.The database includes a set of facts that used to match against the IF condition parts of rules that stored in the knowledge base.There are two types of inference which are forward and backward chaining.As for this system,it used forward chaining as its inference engine. This is because the reasoning is from facts to conclusion.Finally,it is hoped that this system can provide benefits to the users. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5004/1/CD6514.pdf Aida Raihana, Abd Wahab (2012) Human diseases diagnosis system (HDDS). Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:67964&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Aida Raihana, Abd Wahab Human diseases diagnosis system (HDDS)
description	As we know that human disease diagnosis is a complicated process and requires high level of expertise.Any attempt of developing a web-based expert system dealing with human disease diagnosis has to overcome various difficulties. Detecting diseases at early stage can enable to overcome and treat them appropriately.Identifying the treatment accurately depends on the method that is used in diagnosing the diseases.Human Diseases Diagnosis Systems (HDDS) is an expert system that used to give earlier diagnosis of four major diseases,Chikungunya,Avian Influenza,H1N1 and Dengue. The idea to build the system by using expert systems is because expertise is not always available so that users can do their check up on the symptoms.So,by using this system can help them to give earlier diagnosis based on the questionnaires provided and lastly will generate the result of the disease.Besides that,user can get information of the diseases and be aware of the symptoms.This system is build by using PHP and MySQL as the database.Basic structure of rule based expert system are knowledge base,the database and the inference engine,explanation facilities and lastly is the user interface.The knowledge base for this system contains the knowledge useful for problem solving which is represented as a set of rules.The database includes a set of facts that used to match against the IF condition parts of rules that stored in the knowledge base.There are two types of inference which are forward and backward chaining.As for this system,it used forward chaining as its inference engine. This is because the reasoning is from facts to conclusion.Finally,it is hoped that this system can provide benefits to the users.
format	Undergraduates Project Papers
author	Aida Raihana, Abd Wahab
author_facet	Aida Raihana, Abd Wahab
author_sort	Aida Raihana, Abd Wahab
title	Human diseases diagnosis system (HDDS)
title_short	Human diseases diagnosis system (HDDS)
title_full	Human diseases diagnosis system (HDDS)
title_fullStr	Human diseases diagnosis system (HDDS)
title_full_unstemmed	Human diseases diagnosis system (HDDS)
title_sort	human diseases diagnosis system (hdds)
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/5004/ http://umpir.ump.edu.my/id/eprint/5004/ http://umpir.ump.edu.my/id/eprint/5004/1/CD6514.pdf
first_indexed	2023-09-18T22:00:05Z
last_indexed	2023-09-18T22:00:05Z
_version_	1777414339660087296

Human diseases diagnosis system (HDDS)

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